What is he best known for?
The fields of study he is best known for:
- Agriculture
- Agronomy
- Irrigation
His main research concerns Agriculture, Environmental resource management, Food security, Crop and Natural resource economics.
His work deals with themes such as Human nutrition, Food science, Food processing, Yield and Global warming, which intersect with Agriculture.
Pramod K. Aggarwal has included themes like Climate model, Crop yield and Growing season in his Yield study.
His work in the fields of Food security, such as Food systems, intersects with other areas such as Protein concentration.
His Crop research is within the category of Agronomy.
The Yield gap and Productivity research Pramod K. Aggarwal does as part of his general Agronomy study is frequently linked to other disciplines of science, such as Simulation modeling, therefore creating a link between diverse domains of science.
His most cited work include:
- Rising Temperatures Reduce Global Wheat Production (801 citations)
- Uncertainty in Simulating Wheat Yields Under Climate Change (749 citations)
- Multimodel ensembles of wheat growth: many models are better than one (254 citations)
What are the main themes of his work throughout his whole career to date?
Pramod K. Aggarwal mainly focuses on Agriculture, Food security, Agronomy, Crop and Agroforestry.
His Agriculture research integrates issues from Yield, Environmental planning, Environmental resource management, Natural resource economics and Crop yield.
His Natural resource economics research includes elements of Biotechnology and Food processing.
His work in the fields of Food systems overlaps with other areas such as Action.
His multidisciplinary approach integrates Agronomy and Simulation modeling in his work.
In Crop, Pramod K. Aggarwal works on issues like Climate model, which are connected to Animal husbandry.
He most often published in these fields:
- Agriculture (64.19%)
- Food security (41.89%)
- Agronomy (27.03%)
What were the highlights of his more recent work (between 2015-2021)?
- Agriculture (64.19%)
- Food security (41.89%)
- Agronomy (27.03%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Agriculture, Food security, Agronomy, Crop yield and Crop.
His Agriculture research includes themes of Agroforestry, Environmental resource management and Yield.
The various areas that he examines in his Food security study include Crop insurance, Agricultural economics, Environmental planning, Natural resource economics and Effects of global warming.
His studies deal with areas such as Co2 concentration and Soil nitrogen as well as Agronomy.
His work carried out in the field of Crop yield brings together such families of science as Agricultural engineering and Yield.
His Crop research incorporates elements of Sorghum and Sowing.
Between 2015 and 2021, his most popular works were:
- Reducing risks to food security from climate change (187 citations)
- Similar estimates of temperature impacts on global wheat yield by three independent methods (180 citations)
- Understanding gender dimensions of agriculture and climate change in smallholder farming communities (128 citations)
In his most recent research, the most cited papers focused on:
- Agriculture
- Agronomy
- Statistics
His primary scientific interests are in Agriculture, Food security, Environmental resource management, Environmental planning and Yield.
His work on Livelihood as part of general Agriculture research is frequently linked to Library science, bridging the gap between disciplines.
The Food security study combines topics in areas such as Productivity, Natural resource economics, Agricultural land and Futures studies.
His Environmental planning study combines topics from a wide range of disciplines, such as Environmental change, Agricultural productivity, Weather forecasting and Gender analysis.
His Yield research is multidisciplinary, incorporating perspectives in Precipitation, Crop yield, Phenology and Growing season.
His research in Crop yield intersects with topics in Crop, Climate model, Global warming, Global temperature and Regression analysis.
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